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Journal Articles
- 2024
[j4]Haiyan Tu
, Yizhao Deng, Qiyang Li, Mingjun Song, Xiujuan Zheng:
Improved RRT global path planning algorithm based on Bridge Test. Robotics Auton. Syst. 171: 104570 (2024)- 2023
- [j3]Baozhuang Niu, Zifan Shen, Qiyang Li:
Information advantage and payment disadvantage when selling goods through a powerful retailer. Ann. Oper. Res. 331(1): 417-446 (2023) - [j2]Fanzhuo Zeng, Baozhuang Niu, Zhiyuan Qi, Jianhua Zhang, Yong Jin, Qiyang Li:
Will you stick to a high-quality collecting standard? order fulfillment vs. limited supply in diseconomy-cost-mattered remanufacturing operations. Comput. Ind. Eng. 184: 109569 (2023) - 2020
- [j1]Baozhuang Niu, Qiyang Li, Lei Chen:
Exclusive vs. competitive retailing: Overseas vaccine supplier's channel selection considering profit and social responsibility objectives. Comput. Ind. Eng. 144: 106499 (2020)
Conference and Workshop Papers
- 2024
- [c11]Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran:
OpenEQA: Embodied Question Answering in the Era of Foundation Models. CVPR 2024: 16488-16498 - [c10]Jin Peng Zhou, Yuhuai Wu, Qiyang Li, Roger Baker Grosse:
REFACTOR: Learning to Extract Theorems from Proofs. ICLR 2024 - 2023
- [c9]Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine:
Efficient Deep Reinforcement Learning Requires Regulating Overfitting. ICLR 2023 - [c8]Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine:
Understanding the Complexity Gains of Single-Task RL with a Curriculum. ICML 2023: 20412-20451 - [c7]Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine:
Accelerating Exploration with Unlabeled Prior Data. NeurIPS 2023 - 2022
- [c6]Qiyang Li, Ajay Jain, Pieter Abbeel:
AdaCat: Adaptive categorical discretization for autoregressive models. UAI 2022: 1188-1198 - 2021
- [c5]Michael Janner, Qiyang Li, Sergey Levine:
Offline Reinforcement Learning as One Big Sequence Modeling Problem. NeurIPS 2021: 1273-1286 - 2019
- [c4]Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse:
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. ICLR (Poster) 2019 - [c3]Keenan Burnett, Andreas Schimpe, Sepehr Samavi, Mona Gridseth, Chengzhi Winston Liu, Qiyang Li, Zachary Kroeze, Angela P. Schoellig:
Building a Winning Self-Driving Car in Six Months. ICRA 2019: 9583-9589 - [c2]Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen:
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. NeurIPS 2019: 15364-15376 - 2017
- [c1]Qiyang Li, Jingxing Qian, Zining Zhu, Xuchan Bao, Mohamed K. Helwa, Angela P. Schoellig:
Deep neural networks for improved, impromptu trajectory tracking of quadrotors. ICRA 2017: 5183-5189
Informal and Other Publications
- 2024
- [i13]Jin Peng Zhou, Yuhuai Wu, Qiyang Li, Roger B. Grosse:
REFACTOR: Learning to Extract Theorems from Proofs. CoRR abs/2402.17032 (2024) - [i12]Toru Lin, Yu Zhang, Qiyang Li, Haozhi Qi, Brent Yi, Sergey Levine, Jitendra Malik:
Learning Visuotactile Skills with Two Multifingered Hands. CoRR abs/2404.16823 (2024) - [i11]Rui Kong, Qiyang Li, Xinyu Fang, Qingtian Feng, Qingfeng He, Yazhu Dong, Weijun Wang, Yuanchun Li, Linghe Kong, Yunxin Liu:
LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design. CoRR abs/2405.17741 (2024) - 2023
- [i10]Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine:
Efficient Deep Reinforcement Learning Requires Regulating Overfitting. CoRR abs/2304.10466 (2023) - [i9]Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine:
Accelerating Exploration with Unlabeled Prior Data. CoRR abs/2311.05067 (2023) - 2022
- [i8]Qiyang Li, Ajay Jain, Pieter Abbeel:
AdaCat: Adaptive Categorical Discretization for Autoregressive Models. CoRR abs/2208.02246 (2022) - [i7]Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine:
Understanding the Complexity Gains of Single-Task RL with a Curriculum. CoRR abs/2212.12809 (2022) - 2021
- [i6]Michael Janner, Qiyang Li, Sergey Levine:
Reinforcement Learning as One Big Sequence Modeling Problem. CoRR abs/2106.02039 (2021) - 2019
- [i5]Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen:
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. CoRR abs/1911.00937 (2019) - 2018
- [i4]Keenan Burnett, Andreas Schimpe, Sepehr Samavi, Mona Gridseth, Chengzhi Winston Liu, Qiyang Li, Zachary Kroeze, Angela P. Schoellig:
Building a Winning Self-Driving Car in Six Months. CoRR abs/1811.01273 (2018) - [i3]Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse:
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. CoRR abs/1811.09620 (2018) - 2017
- [i2]Qiyang Li, Xintong Du, Yizhou Huang, Quinlan Sykora, Angela P. Schoellig:
Learning of Coordination Policies for Robotic Swarms. CoRR abs/1709.06620 (2017) - 2016
- [i1]Qiyang Li, Jingxing Qian, Zining Zhu, Xuchan Bao, Mohamed K. Helwa, Angela P. Schoellig:
Deep Neural Networks for Improved, Impromptu Trajectory Tracking of Quadrotors. CoRR abs/1610.06283 (2016)
Coauthor Index
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